__author__ = 'DarkWeb'
# Here, we are importing the auxiliary functions to clean or convert data
from typing import List, Tuple
from MarketPlaces.Utilities.utilities import *
# Here, we are importing BeautifulSoup to search through the HTML tree
from bs4 import BeautifulSoup
def mikesGrandStore_description_parser(soup: BeautifulSoup) -> Tuple:
name = "-1" # 0 Product_Name
describe = "-1" # 1 Product_Description
lastSeen = "-1" # 2 Product_LastViewDate
rules = "-1" # 3 NOT USED ...
CVE = "-1" # 4 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = "-1" # 5 Product_MS_Classification (Microsoft Security)
review = "-1" # 6 Product_Number_Of_Reviews
category = "-1" # 7 Product_Category
shipFrom = "-1" # 8 Product_ShippedFrom
shipTo = "-1" # 9 Product_ShippedTo
left = "-1" # 10 Product_QuantityLeft
escrow = "-1" # 11 Vendor_Warranty
terms = "-1" # 12 Vendor_TermsAndConditions
vendor = "-1" # 13 Vendor_Name
sold = "-1" # 14 Product_QuantitySold
addDate = "-1" # 15 Product_AddedDate
available = "-1" # 16 NOT USED ...
endDate = "-1" # 17 NOT USED ...
BTC = "-1" # 18 Product_BTC_SellingPrice
USD = "-1" # 19 Product_USD_SellingPrice
rating = "-1" # 20 Vendor_Rating
success = "-1" # 21 Vendor_Successful_Transactions
EURO = "-1" # 22 Product_EURO_SellingPrice
name: str = soup.find("h1", {"class": "product-title product_title entry-title"}).text
describe = soup.find("div", {"id": "tab-description"}).text
commentsList: List[BeautifulSoup] = soup.find("ol", {"class": "commentlist"}).find_all("li")
if len(commentsList) > 0:
lastReview: BeautifulSoup = commentsList[0]
lastSeen = lastReview.find("time").get("datetime").text
reviewTab: str = soup.find('a', {'href': '#tab-reivews'}).text
review = reviewTab.split('(')[1].split(')')[0]
navbarBreadcrumbs: List[BeautifulSoup] = soup.find('nav', {'class': 'woocommerce-breadcrumb breadcrumbs '}).find_all('a')
category = navbarBreadcrumbs[1].text
USD = soup.find("div", {"class": "price-wrapper"}).text
reviewStats: str = soup.find("div", {"class": "star-rating"}).text
rating = reviewStats.split(' ')[1]
row = (
name,
describe,
lastSeen,
rules,
CVE,
MS,
review,
category,
shipFrom,
shipTo,
left,
escrow,
terms,
vendor,
sold,
addDate,
available,
endDate,
BTC,
USD,
rating,
success,
EURO
)
return row
def mikesGtrandStore_listing_parser(soup: BeautifulSoup) -> List:
# Fields to be parsed
nm = 0 # Total_Products (Should be Integer)
mktName = "DarkFox" # 0 Marketplace_Name
name = [] # 1 Product_Name
CVE = [] # 2 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = [] # 3 Product_MS_Classification (Microsoft Security)
category = [] # 4 Product_Category
describe = [] # 5 Product_Description
escrow = [] # 6 Vendor_Warranty
views = [] # 7 Product_Number_Of_Views
reviews = [] # 8 Product_Number_Of_Reviews
addDate = [] # 9 Product_AddDate
lastSeen = [] # 10 Product_LastViewDate
BTC = [] # 11 Product_BTC_SellingPrice
USD = [] # 12 Product_USD_SellingPrice
EURO = [] # 13 Product_EURO_SellingPrice
sold = [] # 14 Product_QuantitySold
qLeft =[] # 15 Product_QuantityLeft
shipFrom = [] # 16 Product_ShippedFrom
shipTo = [] # 17 Product_ShippedTo
vendor = [] # 18 Vendor
rating = [] # 19 Vendor_Rating
success = [] # 20 Vendor_Successful_Transactions
href = [] # 23 Product_Links (Urls)
pass
#parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
#stores info it needs in different lists, these lists are returned after being organized
#@param: soup object looking at html page of listing page
#return: 'row' that contains a variety of lists that each hold info on the listing page
def darkfox_listing_parser(soup):
# Fields to be parsed
nm = 0 # Total_Products (Should be Integer)
mktName = "DarkFox" # 0 Marketplace_Name
name = [] # 1 Product_Name
CVE = [] # 2 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = [] # 3 Product_MS_Classification (Microsoft Security)
category = [] # 4 Product_Category
describe = [] # 5 Product_Description
escrow = [] # 6 Vendor_Warranty
views = [] # 7 Product_Number_Of_Views
reviews = [] # 8 Product_Number_Of_Reviews
addDate = [] # 9 Product_AddDate
lastSeen = [] # 10 Product_LastViewDate
BTC = [] # 11 Product_BTC_SellingPrice
USD = [] # 12 Product_USD_SellingPrice
EURO = [] # 13 Product_EURO_SellingPrice
sold = [] # 14 Product_QuantitySold
qLeft =[] # 15 Product_QuantityLeft
shipFrom = [] # 16 Product_ShippedFrom
shipTo = [] # 17 Product_ShippedTo
vendor = [] # 18 Vendor
rating = [] # 19 Vendor_Rating
success = [] # 20 Vendor_Successful_Transactions
href = [] # 23 Product_Links (Urls)
listing = soup.findAll('div', {"class": "card"})
# Populating the Number of Products
nm = len(listing)
for a in listing:
bae = a.findAll('a', href=True)
# Adding the url to the list of urls
link = bae[0].get('href')
link = cleanLink(link)
href.append(link)
# Finding the Product
product = bae[1].find('p').text
product = product.replace('\n', ' ')
product = product.replace(",", "")
product = product.replace("...", "")
product = product.strip()
name.append(product)
bae = a.find('div', {'class': "media-content"}).find('div').find_all('div')
if len(bae) >= 5:
# Finding Prices
price = bae[0].text
ud = price.replace(" USD", " ")
# u = ud.replace("$","")
u = ud.replace(",", "")
u = u.strip()
USD.append(u)
# bc = (prc[1]).strip(' BTC')
# BTC.append(bc)
# Finding the Vendor
vendor_name = bae[1].find('a').text
vendor_name = vendor_name.replace(",", "")
vendor_name = vendor_name.strip()
vendor.append(vendor_name)
# Finding the Category
cat = bae[2].find('small').text
cat = cat.replace("Category: ", "")
cat = cat.replace(",", "")
cat = cat.strip()
category.append(cat)
# Finding Number Sold and Quantity Left
num = bae[3].text
num = num.replace("Sold: ", "")
num = num.strip()
sold.append(num)
quant = bae[4].find('small').text
quant = quant.replace("In stock: ", "")
quant = quant.strip()
qLeft.append(quant)
# Finding Successful Transactions
freq = bae[1].text
freq = freq.replace(vendor_name, "")
freq = re.sub(r'Vendor Level \d+', "", freq)
freq = freq.replace("(", "")
freq = freq.replace(")", "")
freq = freq.strip()
success.append(freq)
# Searching for CVE and MS categories
cve = a.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
if not cve:
cveValue="-1"
else:
cee = " "
for idx in cve:
cee += (idx)
cee += " "
cee = cee.replace(',', ' ')
cee = cee.replace('\n', '')
cveValue=cee
CVE.append(cveValue)
ms = a.findAll(text=re.compile('MS\d{2}-\d{3}'))
if not ms:
MSValue="-1"
else:
me = " "
for im in ms:
me += (im)
me += " "
me = me.replace(',', ' ')
me = me.replace('\n', '')
MSValue=me
MS.append(MSValue)
# Populate the final variable (this should be a list with all fields scraped)
return organizeProducts(mktName, nm, name, CVE, MS, category, describe, escrow, views, reviews, addDate, lastSeen,
BTC, USD, EURO, qLeft, shipFrom, shipTo, vendor, rating, success, sold, href)
#called by the crawler to get description links on a listing page
#@param: beautifulsoup object that is using the correct html page (listing page)
#return: list of description links from a listing page
def mikesgrandstore_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.findAll('div', {"class": "box-image"})
for a in listing:
bae = a.find('div', {"class": "image-fade_in_back"}).find('a', href=True)
link = bae['href']
href.append(link)
return href